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Next generation celestial reference frames from photometry and absolute astrometry of blazars – NGCP2A
The international celestial reference frame (ICRF) is fundamental for both astronomy and geosciences, for both scientific and civilian applications. Nowadays, it is realized with an accuracy of few tenth of milliarcseconds through the positions of thousands to millions of compact extragalactic sourc
Technologies, (Dis)-intermediation and Financial Transaction Monitoring – MonFinTech
The project MonFinTech aims at understanding how Artificial Intelligence (AI) and the blockchain technology will transform financial transaction monitoring. Firms and consumers can use financial systems to process illegal transactions: tax evasion, purchasing of illegal products or services, and mon
Fusion of imaging and text data for longitudinal stroke prediction and intervention – IMAGE-TEXT-AVC
This project aims to improve prediction and intervention in strokes by integrating medical imaging data and textual reports. It is based on a robust database, RELATE, which collects clinical and imaging information from patients treated for ischemic stroke at the CHU de Lyon. Since 2020, this databa
VIrtual Characters for team Training: Emotional, Adaptive, Motivated and Social – VICTEAMS
Several application areas need rescuer teams to be trained to manage crises in complex socio-technical environments (e.g. terrorist attacks, natural disasters). The members of these emergency teams need to adapt, under emotional stress, to potential disruptions due to the uncertainties of crisis man
Bio-inspired computation based on artificial spin Ice architectures – Bio-Ice
Recently, there has been impressive progress in the field of artificial intelligence. A striking example is Alphago, an algorithm developed by Google, that defeated the world champion Lee Sedol at the game of Go. However, in terms of power consumption, the brain remains the absolute winner, by four
Captation, Analyse et Représentation Temporelle des Evolutions d’un Corpus – CARTEC
Cartec is an industrial research project which focuses on the analysis of the temporal evolution of hypermedia information data sets that evolve in a random way, in order to transform them into a structured corpus. This transformation raises three main issues, forming the three main activities of
Computation-enabled TNT Multiplexed Sensors Fabricated by Two-Photon Stereolithography. – TNT-Sensor-IA
The TNT-Sensor-IA project aims in designing of a new generation of multiplexed array microsensors integrating a metamaterials whose porosity can be spatially programmed. Such a direct laser writing approach associates the latest advances in multiphoton stereolithography (SLA) with those in the artif
Design and optimization of an energy-efficient RF transceiver to AGGREGATe channels OveR GHz frequencies – AGGREGATE5
The 5th Generation (5G) of communications provides very high-data rates using multiple carrier frequencies simultaneously in the 617MHz to 5GHz band. The main challenge is to carry out a smart aggregation of carriers without increasing power consumption considering the constraints of multi-standards
high gas barrier polymer-based nanocomposite design by combining experimental, modelling and machine learning approaches – BANCODEMM
BANCODEMM project aims to explore new routes in the quest of robust guidelines to design polymer-based nanocomposites displaying enhanced barrier properties from combined experimental, theoretical and numerical investigation. In this project, the whole chain from nanocomposite constituents to proces
Smart machine-tool and HSM process with Emma – SmartEmma
With Industry 4.0, manufacturing machines are equipped with numerous sensors, allowing the collection of process monitoring data, as well as contextualization information. Managing these large volumes of heterogeneous data requires suitable tools and methods. However, this data currently remains unu
